Crispo - Excel Challenge 08 2025

excel-challenges
weekly-exercises
Easy Sunday Excel Challenge
Published

February 23, 2025

Illustration for Crispo - Excel Challenge 08 2025

Challenge Description

Easy Sunday Excel Challenge

⭐ Problem Solution Client Doctor Service Rating

Solutions

library(tidyverse)
library(readxl)

path = "files/Ex-Challenge 08 2025.xlsx"
input = read_excel(path, range = "B2:E5")
test  = read_excel(path, range = "G2:J8")

result = input %>%
  separate_rows(Service, Rating, sep = "\r\n") %>%
  mutate(Rating = as.numeric(Rating))

all.equal(result, test, check.attributes = FALSE)
#> [1] TRUE

  • Logic:

    • Reads the workbook range needed for the challenge

    • Builds the intermediate helper columns that drive the final answer

  • Strengths:

    • The R solution stays compact and mirrors the workbook logic closely.

  • Areas for Improvement:

    • The code assumes the workbook layout and named ranges remain stable.

  • Gem:

    • The best part of the solution is choosing a tidy intermediate shape before producing the final answer.
import pandas as pd

path = "files/Ex-Challenge 08 2025.xlsx"
input = pd.read_excel(path, usecols="B:E", skiprows=1, nrows=3)
test = pd.read_excel(path, usecols="G:J", skiprows=1, nrows=6).rename(columns=lambda x: x.replace('.1', ''))

input[['Service', 'Rating']] = input[['Service', 'Rating']].apply(lambda x: x.str.split('\n').fillna(x))
input = input.explode(['Service', 'Rating']).reset_index(drop=True)
input['Rating'] = input['Rating'].astype('float64')

print(input.equals(test)) #True

  • Logic:

    • Reads the workbook range needed for the challenge

  • Strengths:

    • The Python version keeps the same rule in a direct pandas-oriented workflow.

  • Areas for Improvement:

    • As with the R version, any workbook layout change would require small adjustments.

  • Gem:

    • The implementation stays close to the stated challenge instead of adding unnecessary complexity.

Difficulty Level

This task is easy to moderate:

  • The business rule is readable, but the workbook still needs a few careful transformation steps.